# Create function to determine top crops
cropList <- function(measurement, years) {
  # Prep data
  xx <- agData_STATCAN_Crops %>% 
    filter(Area == "Saskatchewan", Measurement == measurement, Year %in% years) 
  # Get top 15 crops from each year
  topcrops <- function(x, year) {
    x <- x %>% filter(Year == year) %>% arrange(desc(Value)) %>% 
      pull(Crop) %>% unique() %>% as.character()
  }
  myCrops <- NULL
  for(i in years) { myCrops <- c(myCrops, topcrops(xx, i)) }
  unique(myCrops)
}

# Prep data
xx <- agData_STATCAN_Crops %>% 
    filter(Area == "Saskatchewan", 
           Measurement == "Seeded area") %>% 
  group_by(Year) %>%
  arrange(Year, -Value) %>%
  mutate(Rank = 1:n()) %>%
  filter(Rank < 10) %>% 
  arrange(desc(Year)) %>%
  mutate(Crop = factor(Crop, levels = unique(.$Crop)))
# Plot
mp <- ggplot(xx, aes(xmin = 0, xmax = Value / 1000000, 
                     ymin = Rank - 0.45, ymax = Rank + 0.45, y = Rank, 
                     fill = Crop)) + 
  geom_rect(alpha = 0.8, color = "black") + 
  scale_fill_manual(values = alpha(agData_Colors, 0.75)) +
  scale_x_continuous(limits = c(-2.5,10), breaks = c(0,2,4,6,8,10)) +
  geom_text(col = "black", hjust = "right", aes(label = Crop), x = -0.1) +
  scale_y_reverse() +
  theme_agData(legend.position = "none",
               axis.text.y = element_blank(), 
               axis.ticks.x = element_blank()) + 
  labs(title = "Saskatchewan - Area Seeded", 
       subtitle = "Year: {frame_time}",
       x = "Million Hectares", y = NULL,
       caption = "\xa9 www.dblogr.com/  |  Data: STATCAN") +
  # gganimate
  facet_null() +
  geom_text(x = 6, y = -8,
            aes(label = as.character(Year)),
            size = 30, col = "black") +
  transition_time(Year)
mp <- animate(mp, nframes = 2*(max(xx$Year) - min(xx$Year)), fps = 5, 
              end_pause = 20, width = 600, height = 400)
anim_save("crops_saskatchewan_gifs_01.gif", mp)

# Prep data
xx <- agData_STATCAN_Crops %>% 
  filter(Area == "Saskatchewan", Measurement == "Seeded area") 
myCrops <- unique(c(cropList(measurement = "Seeded area", years = 2017), as.character(xx$Crop)))
xx <- xx %>% mutate(Crop = factor(Crop, levels = myCrops))
# Plot
mp <- ggplot(xx, aes(x = Year, y = Value / 1000000, color = Crop)) + 
  geom_line(alpha = 0.8) + 
  facet_wrap(Crop ~ ., ncol = 6) + 
  scale_color_manual(values = alpha(agData_Colors, 0.75)) +
  theme_agData(legend.position = "none", 
               axis.text.x = element_text(angle = 45, hjust = 1)) + 
  labs(title = "Saskatchewan Crops - Area Seeded", y = "Million Hectares", x = NULL,
       caption = "\xa9 www.dblogr.com/  |  Data: STATCAN")
ggsave("crops_saskatchewan_04.png", mp, width = 6, height = 5)

# Prep data
xx <- agData_STATCAN_Crops %>% 
  filter(Area == "Saskatchewan", Year == 2020, Measurement == "Seeded area") %>%
  arrange(desc(Value)) %>%
  mutate(Crop = factor(Crop, levels = unique(.$Crop)))
# Plot
mp <- ggplot(xx, aes(area = Value, fill = Crop, label = Crop)) +
  geom_treemap(color = "black", alpha = 0.8, size = 1.5) +
  geom_treemap_text(place = "centre", grow = T, color = "white") +
  scale_fill_manual(values = alpha(agData_Colors, 0.75)) +
  theme_agData(legend.position = "none") +
  labs(title = "Saskatchewan Cropland", subtitle = "Seeded Area 2020",
       caption = "\xa9 www.dblogr.com/  |  Data: STATCAN")
ggsave("crops_saskatchewan_05.png", mp, width = 6, height = 4)

# Prep data
xx <- agData_STATCAN_Crops %>% 
  filter(Area == "Saskatchewan", Measurement == "Seeded area") %>%
  arrange(desc(Year), desc(Value)) %>% 
  mutate(Crop = factor(Crop, levels = unique(.$Crop)))
# Plot
mp <- ggplot(xx, aes(area = Value, fill = Crop, label = Crop)) +
  geom_treemap(layout = "fixed", color = "black", alpha = 0.8, size = 1.5) +
  geom_treemap_text(layout = "fixed", place = "centre", grow = T, color = "white") +
  scale_fill_manual(values = alpha(agData_Colors, 0.75)) +
  theme_agData(legend.position = "none") +
  labs(title = "Saskatchewan Cropland - Seeded Area",
       subtitle = "Year: {frame_time}",
       caption = "\xa9 www.dblogr.com/  |  Data: STATCAN") +
# gganimate
  transition_time(Year)
mp <- animate(mp, nframes = 2*(max(xx$Year) - min(xx$Year)), fps = 10,
              end_pause = 20, width = 600, height = 400)
anim_save("crops_saskatchewan_gifs_02.gif", mp)

# Prep data
xx <- agData_STATCAN_FarmLand_Use %>% 
  filter(Area == "Saskatchewan", Item == "Total area of farms", 
         Unit == "Hectares", !is.na(Value))
# Plot
mp <- ggplot(xx, aes(x = Year, y = Value / 1000000)) + 
  geom_line(color = "darkgreen", size = 1.25, alpha = 0.8) +
  scale_x_continuous(breaks = seq(1920, 2020, 10)) +
  theme_agData() +
  labs(title = "Total area of farms in Saskatchewan", y = "Million Hectares", x = NULL,
       caption = "\xa9 www.dblogr.com/  |  Data: STATCAN")
ggsave("crops_saskatchewan_06.png", mp, width = 6, height = 4)

# Prep data
xx <- agData_STATCAN_Crops %>% 
  filter(Area == "Saskatchewan", Crop == "Summerfallow", 
         Measurement == "Seeded area")
# Plot
mp <- ggplot(xx, aes(x = Year, y = Value / 1000000)) + 
  geom_line(color = "darkgreen", size = 1.25, alpha = 0.8) +
  scale_x_continuous(breaks = seq(1920, 2020, 10)) +
  theme_agData() +
  labs(title = "Summerfallow in Saskatchewan", y = "Million Hectares", x = NULL,
       caption = "\xa9 www.dblogr.com/  |  Data: STATCAN")
ggsave("crops_saskatchewan_07.png", mp, width = 6, height = 4)

# Prep data
x1 <- agData_STATCAN_Crops %>% 
  filter(Area == "Saskatchewan", Measurement == "Production",
         Crop %in% c("Lentils","Peas","Beans","Chickpeas")) %>%
  group_by(Year) %>% 
  summarise(Value = sum(Value)) %>%
  mutate(Crop = "Fake Meat Protein")
x2 <- agData_STATCAN_Crops %>% 
  filter(Area == "Saskatchewan", Measurement == "Production",
         Crop %in% c("Canola","Wheat")) %>%
  mutate(Crop = plyr::mapvalues(Crop, c("Canola","Wheat"), c("Toxic Oilseeds","Evil Gluten")))
xx <- bind_rows(x1, x2)
# Plot
mp <- ggplot(xx, aes(x = Year, y = Value / 1000000, color = Crop)) +
  geom_line(size = 1.5, alpha = 0.8) +
  facet_wrap("Saskatchewan" ~ .) +
  scale_color_manual(name = NULL, values = c("darkgoldenrod2","darkgreen","darkred")) +
  scale_x_continuous(breaks = seq(1910,2020,10)) +
  theme_agData(legend.position = "bottom") +
  labs(y = "Million Tonnes", x = NULL,
       caption = "\xa9 www.dblogr.com/  |  Data: STATCAN")
ggsave("crops_saskatchewan_08.png", mp, width = 6, height = 4)